On the Performance of Secure Underlay Cognitive Radio Networks With Energy Harvesting and Dual-Antenna Selection

Khoshafa, Majid H.; Moualeu, Jules M.; Ngatched, Telex M. N.; Ahmed, Mohamed H.

doi:10.1109/lcomm.2021.3063673

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Towards this end, the relay selection approach was proposed for guarding wireless transmissions against eavesdropping attacks. The authors in [27] studied the PLS of energy harvesting for cognitive radio networks using the cooperative relaying technique. In [28], the PLS of cooperative dual-hop NOMA for internet-of-thing networks was investigated.…”

Section: A Related Workmentioning

confidence: 99%

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

2022

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This paper investigates the physical layer security of inband underlay Device-to-Device (D2D) communication, where the direct link between D2D users is not available. In this respect, optimal relay and suboptimal relay selections are utilized to secure the D2D transmission. The eavesdropper uses either maximal-ratio combining or selection combining to increase the wiretapped signals. The D2D secrecy performance analysis is performed regarding the secrecy outage probability (SOP) and the probability of non-zero secrecy capacity, and closed-form expressions are provided for both relay selection approaches and verified using Monte-Carlo simulation. From the numerical results, it is shown that increasing the number of D2D relays enhances the secrecy performance of D2D communications. Moreover, the exact asymptotic analysis of the SOP is provided. It turns out that the diversity order of both relay selection approaches is the same.INDEX TERMS Physical layer security, D2D communications, secrecy outage probability, optimal and suboptimal relay selection, maximal-ratio combining, and selection combining., 1

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Section: A Related Workmentioning

confidence: 99%

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

2022

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“…Recently, the authors in [34] have investigated the tradeoff between reliability and security for non-orthogonal multiple access enabled cognitive radio networks. The authors in [35] have studied the secrecy performance of energy harvesting coupled cognitive radio networks. Furthermore, the authors in [36] have evaluated the performance of cognitive wiretap networks under α − µ fading channels.…”

Section: A Related Workmentioning

confidence: 99%

“…Similarly, we can evaluate M 2 and M 3 . Consequently, invoking the resultant expressions of M 1 , M 2 , and M 3 into (60), we can express C sec,1 as presented in (35). Moreover, from (33), we can express C sec,2 into its equivalent integral form as…”

Section: Appendix F Proof Of Theoremmentioning

confidence: 99%

Joint Impact of Nodes Mobility and Imperfect Channel Estimates on the Secrecy Performance of Cognitive Radio Vehicular Networks Over Nakagami-m Fading Channels

Pandey

Yadav

2021

IEEE Open J. Veh. Technol.

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This paper investigates the joint impact of nodes' mobility and imperfect channel estimates on the secrecy performance of an underlay cognitive radio vehicular network over Nakagami-m fading channels. Specifically, the secondary network consists of a single-antenna source vehicle, an ND-antenna destination vehicle, and an NE-antenna passive eavesdropper vehicle, whereas the primary network comprises of a singleantenna primary receiver vehicle. The time selective fading links arise due to nodes' mobility are modeled via first-order autoregressive process, and the channel state information is estimated using linear minimum mean square error estimation method. Moreover, the transmit power of secondary source is constrained by both the interference threshold of the primary receiver and the maximum transmit power of secondary network. Under such a realistic scenario, we derive the analytical closed-form secrecy outage probability (SOP) and ergodic secrecy capacity expressions. Furthermore, we present asymptotic SOP analysis to obtain key insights into the system's secrecy diversity order. We also report several practical cases of interest to reveal valuable information about the system's secrecy behavior. Moreover, we illustrate the impacts of system/channel parameters, nodes' mobility, imperfect channel estimates, interference temperature limit, and the maximum available source power. Finally, the simulation studies corroborate our derived analytical findings.

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“…For instance, several reported works have investigated the integration of EH techniques in underlay CRNs (see [15], [16], [17], [18], and [19] and the references therein). From a security point of view, certain papers have focused on improving the security of underlay CRNs through EH, such as in [12], [14], [20], and [21], due to the elevation in the security concerns in 5G and beyond networks [22], [23]. In contrast to the underlay mode, the interference from the secondary transmissions on the primary network can be counteracted in the overlay mode.…”

Section: Introductionmentioning

confidence: 99%

Overlay Cognitive Radio Networks Enabled Energy Harvesting With Random AF Relays

2022

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In this paper, we investigate an overlay cognitive radio network (CRN) in which one user is selected among multiple secondary users (SUs) to harvest energy from primary transmissions using a timeswitching protocol. Based on a power allocation scheme, the selected user utilizes a portion of the harvested energy to assist the primary user (PU) in forwarding its messages to a primary receiver, while the remaining portion is used to transmit its own information in exchange for this cooperation. Specifically, we evaluate the reliability of both the primary and secondary networks in terms of the outage probability. Moreover, both the time switching and power allocation factors that maximize the users' data rate are optimized.INDEX TERMS Amplify-and-forward relaying, cognitive radio networks, energy harvesting, homogeneous Poisson point process (HPPP) distribution.

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On the Performance of Secure Underlay Cognitive Radio Networks With Energy Harvesting and Dual-Antenna Selection

Cited by 7 publications

References 14 publications

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

Joint Impact of Nodes Mobility and Imperfect Channel Estimates on the Secrecy Performance of Cognitive Radio Vehicular Networks Over Nakagami-m Fading Channels

Overlay Cognitive Radio Networks Enabled Energy Harvesting With Random AF Relays

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